Vibration and Noise

Lilly, Jerry G.; Marscher, William D.; Cronin, Roger J.; Gall, Ray A.; Garbus, Richard O.; Keightley, W. O.; Miller, James D.; Mocek, Aloysius M.; Nelson, William E.; Parks, Randall R.; Pollack, Jerry P.; Schettler, James; Whiton, Theodore B.

doi:10.1016/b978-185617513-5.50029-9

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…In addition, their dynamic operation is also dependent on external driving forces and different working conditions. The combination of these fluctuations in the vibration signals represents the noise interference that hinders the fault signatures and reduces the accuracy of fault classification [65,66]. The proposed approach attained fault classification with high accuracy in both the centrifugal pump and the reciprocating compressor.…”

Section: Discussionmentioning

confidence: 99%

Improved Mel Frequency Cepstral Coefficients for Compressors and Pumps Fault Diagnosis with Deep Learning Models

Cabrera,

Medina,

Cerrada

et al. 2024

Applied Sciences

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Compressors and pumps are machines frequently used in petroleum and chemical industries for fluid transportation through flow systems to keep industrial processes running permanently. As their failure can produce costly disruption, developing fault detection and diagnosis tools is essential for accurately detecting and diagnosing faults. This research proposes a bi-dimensional representation of the vibration signal corresponding to the Mel Frequency Cepstral Coefficients (MFCC) and their first two derivatives as features. The pseudo-periodic nature of the fault signature in rotating machines is exploited to put forward an efficient and accurate patch-wise fault classification method. This approach enables the classification of 13 combined types of faults in a multi-stage centrifugal pump and 17 faults in a reciprocating compressor. Classification is performed using the Long Short-Term Memory (LSTM) network, the bidirectional Long Short-Term Memory (BiLSTM) neural network, and the Convolutional Neural Network (CNN). Accurate classification over 99% is attained, showing that the proposed feature extraction procedure correctly classifies a large set of faults simultaneously appearing in such rotating machines.

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Section: Discussionmentioning

confidence: 99%

Improved Mel Frequency Cepstral Coefficients for Compressors and Pumps Fault Diagnosis with Deep Learning Models

Cabrera,

Medina,

Cerrada

et al. 2024

Applied Sciences

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A Scoping Review on Occupational Noise Mitigation Strategies and Recommendations for Sustainable Ship Operations

Febriyanto,

Guedes,

Mourão

2024

IJERPH

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Environmental and occupational noise has the potential to result in health risks. The presence of high noise levels aboard ships can cause substantial hazards that affect the well-being of those employed in the maritime industry. The study and implementation of occupational noise reduction aboard ships are of the highest priority for ensuring the well-being of marine workers, compliance with regulatory standards, protection of the environment, and improvement of overall operational efficiency and safety within the maritime sector. A scoping study was conducted to collect and summarize the existing scientific literature about approaches to preventing occupational noise in vessel operations. We searched electronic databases for papers published up to June 2024. Initially, 94 articles were identified for screening, and the present research produced 16 studies, which were finally analyzed. Resultantly, noise control may begin with elimination, substitution, engineering, administrative, and hearing protection (ear plugs or muffs). Noise control innovation would be started with engineering techniques. Hearing protection devices (HPDs) could be used to reduce noise and as an instrument of communication between sailors. More research needs to be carried out in order to find the best ways for maritime vessels to reduce noise at work and to see how well they work in lowering the risks that come with noise for workers on board.

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Vibration and Noise

Cited by 2 publications

References 3 publications

Improved Mel Frequency Cepstral Coefficients for Compressors and Pumps Fault Diagnosis with Deep Learning Models

Improved Mel Frequency Cepstral Coefficients for Compressors and Pumps Fault Diagnosis with Deep Learning Models

A Scoping Review on Occupational Noise Mitigation Strategies and Recommendations for Sustainable Ship Operations

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